Phospho-CREB1 (Thr100) antibodies are highly specific reagents that recognize CREB1 only when phosphorylated at Thr100. Key features include:
Specificity: These antibodies do not cross-react with non-phosphorylated CREB1 or other phosphorylation sites (e.g., Ser133 or Ser121) .
Immunogen: Derived from synthesized peptides spanning residues 71–120 of human CREB1, incorporating the phosphorylated Thr100 site .
Host Species: Available in monoclonal (mouse) and polyclonal (rabbit) formats .
Applications: Validated for Western blot (WB), ELISA, and cell-based assays .
Used to detect phosphorylated CREB1 (42 kDa band) in cell lysates or tissue extracts, with optimal dilution ranges between 1:500 and 1:3000 .
Qualitative detection of phospho-CREB1 (Thr100) in adherent or suspension cells, normalized using GAPDH or total CREB1 controls .
CREB1 phosphorylation at Thr100 is implicated in transcriptional activation, circadian rhythm regulation, and adipose cell differentiation .
Dysregulation of CREB1 is linked to cancers (e.g., angiomatoid fibrous histiocytoma via chromosomal translocations) and neurological disorders .
Cross-Reactivity: No observed reactivity with non-target proteins in human, mouse, or rat models .
Lot-Specific Data: Vendors provide validation data (e.g., WB images) upon request .
Research Use Only: Strictly for in vitro studies; not validated for diagnostic or therapeutic applications .
Phosphosite Context: While Thr100’s functional role is less characterized than Ser133, its detection remains vital for mapping CREB1 activation states .
Further studies are needed to elucidate Thr100’s specific role in CREB1-mediated pathways. Current tools enable researchers to explore its involvement in diseases like cancer and metabolic disorders, leveraging antibodies and ELISA kits listed above .
Phospho-CREB1 (Thr100) refers to the Cyclic AMP-responsive element-binding protein 1 when phosphorylated at the threonine residue at position 100. CREB1 functions as a phosphorylation-dependent transcription factor that stimulates transcription upon binding to the DNA cAMP response element (CRE), a sequence present in many viral and cellular promoters.
While Ser133 phosphorylation is the most well-studied modification of CREB1, phosphorylation at different sites including Thr100 can distinctly regulate CREB1 activity. The protein is involved in multiple cellular processes including:
Synchronization of circadian rhythmicity
Differentiation of adipose cells
Neuronal plasticity and cognitive functions
Cell proliferation and survival
Glucose homeostasis
Regulation of apoptotic and inflammatory response factors in cardiomyocytes
Research indicates that phosphorylation at different KID (kinase-inducible domain) serine residues can have opposing effects: phosphorylation of Ser129 and Ser133 positively affects transcriptional activity, while phosphorylation at Ser111 and Ser121 inhibits CREB-related gene expression .
Phospho-CREB1 (Thr100) antibodies are specifically designed to detect CREB1 protein only when phosphorylated at threonine 100. This high specificity allows researchers to distinguish this particular phosphorylation state from other modified forms of CREB1. Key differences include:
Target specificity: Both monoclonal and polyclonal antibodies against Phospho-CREB1 (Thr100) detect "endogenous levels of CREB-1 protein only when phosphorylated at T100"
Epitope region: The immunogen typically spans amino acids 71-120 of human CREB1, surrounding the Thr100 phosphorylation site
Functional significance: Unlike the well-characterized Ser133 phosphorylation (which is critical for activation), the specific downstream effects of Thr100 phosphorylation are still being elucidated
When selecting between different phospho-specific antibodies, researchers should consider the particular signaling pathway under investigation and the specific phosphorylation events known to occur in response to their experimental conditions.
Based on manufacturer specifications and research literature, Phospho-CREB1 (Thr100) antibodies have been validated for the following applications:
When using these antibodies for new applications or sample types, researchers should perform their own validation experiments. The observed band for CREB1 is typically around 42-43 kDa .
For optimal detection of Phospho-CREB1 (Thr100) by Western blotting, follow these methodological guidelines:
Sample preparation:
Extract proteins using phosphatase inhibitor-containing lysis buffers
Maintain samples at 4°C throughout processing
Avoid repeated freeze-thaw cycles which may degrade phosphoproteins
Gel electrophoresis and transfer:
Load 20-50 μg of total protein per lane (or optimize based on your samples)
Use freshly prepared transfer buffers
Consider wet transfer for optimal results with phosphoproteins
Blocking and antibody incubation:
Controls and validation:
Detection considerations:
Phosphoproteins are often present at low stoichiometric abundance, requiring careful optimization of detection methods .
Validating antibody specificity is crucial for reliable results when working with phospho-specific antibodies. Consider these approaches:
Phosphatase treatment:
Treat one set of samples with lambda phosphatase
Compare to untreated samples - signal should disappear in treated samples
Peptide competition assay:
Pre-incubate antibody with phosphorylated versus non-phosphorylated peptides
Signal should be blocked by phosphorylated but not by non-phosphorylated peptide
Genetic validation:
Use CREB1 knockout/knockdown models
Employ site-directed mutagenesis to create T100A mutants
Physiological validation:
Use activators and inhibitors of pathways known to affect CREB1 phosphorylation
Compare results across multiple antibody sources if possible
Cross-reactivity assessment:
Test the antibody against closely related proteins (e.g., ATF1)
Analyze samples from multiple species if working across models
Manufacturers typically specify that these antibodies detect "endogenous levels of CREB-1 protein only when phosphorylated at T100" , but independent validation in your specific experimental system is always recommended.
Phosphorylation is a labile post-translational modification that requires careful sample handling to preserve. Follow these guidelines:
Cell/tissue harvesting:
Minimize the time between stimulus and harvest
Rapidly freeze samples in liquid nitrogen if immediate processing isn't possible
Lysis buffer components:
Include multiple phosphatase inhibitors (e.g., sodium fluoride, sodium orthovanadate, β-glycerophosphate)
Add protease inhibitors to prevent protein degradation
Consider commercial phosphatase inhibitor cocktails for comprehensive coverage
Processing conditions:
Maintain samples at 4°C throughout extraction
Avoid alkaline pH which can promote dephosphorylation
Process samples quickly to minimize exposure to endogenous phosphatases
Storage considerations:
Store lysates at -80°C
Avoid repeated freeze-thaw cycles
Consider adding fresh phosphatase inhibitors upon thawing
Handling antibodies:
Remember that different phosphorylation sites may have different stabilities; some phosphorylation events are more labile than others.
The effect of Thr100 phosphorylation on CREB1's DNA-binding capacity differs from that of other phosphorylation sites:
Binding affinity differences:
Research has identified two classes of CRE (cAMP response element) sites with different affinities for CREB
Low-affinity sites (asymmetric CGTCA sites) and high-affinity sites (symmetrical TGACGTCA sites)
Phosphorylation increases binding to both types of sites, but the effect is more pronounced for low-affinity sites
Comparison with Ser133 phosphorylation:
Ser133 phosphorylation is well-established as critical for transcriptional activation
Ser133 phosphorylation does not directly affect DNA binding but recruits the coactivator CREB binding protein (CBP)
In contrast, the specific effect of Thr100 phosphorylation on coactivator recruitment is less well-characterized
Functional consequences:
Different phosphorylation patterns may affect the spectrum of genes regulated
Phosphorylation-dependent changes in binding can increase occupancy of weak binding sites used for transactivation
High-affinity sites may have constitutive binding of both transcriptionally active and inactive CREB dimers
The complex interplay between multiple phosphorylation sites likely allows for fine-tuned control of gene activation in response to different cellular stimuli.
Research on Phospho-CREB1 has revealed significant implications for cancer biology and therapeutic strategies:
These findings suggest that phosphorylated CREB1 detection may serve both as a biomarker and potential therapeutic target in certain cancers.
Detecting low-abundance phosphoproteins in clinical samples presents significant challenges that require specialized approaches:
Sample enrichment strategies:
Signal amplification methods:
Use highly sensitive detection systems such as SuperSignal West Femto
Consider tyramide signal amplification for immunohistochemistry
Explore digital immunoassay platforms with single-molecule detection capabilities
Quantitative approaches:
Data analysis considerations:
Use image analysis software to quantify subtle differences in signal intensity
Apply appropriate statistical methods for comparing low-abundance targets
Consider normalization to total protein rather than housekeeping proteins
Technical controls:
Include gradient standards of known phosphoprotein concentrations
Process all clinical samples identically and simultaneously when possible
Use internal controls within each sample batch
For clinical samples specifically, the pre-analytical variables (collection, storage, processing time) should be strictly controlled and documented to ensure reproducibility.
Researchers should consider these key differences when selecting between polyclonal and monoclonal Phospho-CREB1 (Thr100) antibodies:
For studies requiring absolute specificity, monoclonal antibodies may be preferred. For maximum sensitivity or detection of multiple isoforms, polyclonal antibodies might offer advantages. Both antibody types are purified by affinity chromatography using epitope-specific immunogens .
Researchers using Phospho-CREB1 (Thr100) antibodies commonly encounter these technical challenges:
Weak or absent signal:
High background:
Multiple bands/non-specific binding:
Causes: Cross-reactivity with related proteins (e.g., ATF1), degradation products, non-specific binding
Solutions: Use knockout/knockdown controls, include peptide competition controls, optimize antibody dilution
Inconsistent results between experiments:
Causes: Variable phosphorylation status, inconsistent sample handling, antibody degradation
Solutions: Standardize stimulation protocols, establish consistent sample processing workflow, aliquot antibodies to avoid freeze-thaw cycles
Poor reproducibility in clinical samples:
Causes: Pre-analytical variables, tissue heterogeneity, phosphatase activity in archived samples
Solutions: Standardize collection and fixation protocols, use phosphatase inhibitors throughout processing, consider laser microdissection for heterogeneous tissues
For specific methodological approaches, always refer to the manufacturer's recommendations regarding optimal dilutions and application-specific protocols .
Robust control strategies are essential for reliable interpretation of results when working with phospho-specific antibodies:
Positive controls:
Cells/tissues treated with agents known to induce CREB1 Thr100 phosphorylation
Recombinant phosphorylated CREB1 protein (if available)
Previously validated samples with confirmed Thr100 phosphorylation
Negative controls:
Phosphatase-treated samples to remove phosphorylation
Cells treated with inhibitors of pathways leading to CREB1 phosphorylation
CREB1 knockout/knockdown samples (accounting for potential antibody cross-reactivity)
Specificity controls:
Peptide competition with phosphorylated and non-phosphorylated peptides
Comparison of results using multiple antibodies targeting the same phospho-site
Western blot with both phospho-specific and total CREB1 antibodies
Loading and transfer controls:
Method-specific controls:
When performing quantitative analyses, use the ratio of phosphorylated to total protein rather than absolute phospho-protein levels alone.
Proper storage and handling of phospho-specific antibodies is critical for maintaining their performance over time:
Storage temperature:
Formulation:
Aliquoting practices:
Upon receipt, divide into small single-use aliquots to avoid repeated freeze-thaw cycles
Use sterile tubes for aliquoting
Label clearly with antibody details, concentration, and date
Working dilution handling:
Prepare fresh working dilutions whenever possible
If storing diluted antibody, keep at 4°C for short periods (≤1 week)
Add preservatives like sodium azide (0.02%) to diluted solutions
Shipping and temporary storage:
If temporarily stored at 4°C upon receipt, transfer to -20°C as soon as possible
Monitor for any signs of precipitation or contamination
Document receipt date to track antibody age
Contamination prevention:
Use clean pipette tips when accessing antibody stock
Avoid introducing bacteria or other contaminants
Consider adding additional preservatives if contamination is a concern
Following these guidelines will help maintain antibody performance and extend its useful life in the laboratory.
Designing kinetic studies of phosphorylation events requires careful experimental planning:
Temporal considerations:
Establish appropriate time points (typically ranging from seconds to hours)
Include both early (30 seconds, 2, 5, 15 minutes) and late (30 minutes, 1, 2, 6, 24 hours) time points
Use synchronized cell populations when possible
Stimulation protocols:
Identify appropriate stimuli known to affect CREB1 phosphorylation
Optimize stimulus concentration through dose-response experiments
Ensure consistent application of stimulus across experimental replicates
Consider physiologically relevant stimuli for your model system
Inhibitor studies:
Use pathway-specific inhibitors to dissect kinase contributions
Apply inhibitors at defined time points to study persistence of phosphorylation
Include appropriate vehicle controls
Sample collection strategy:
Develop rapid harvesting protocols to capture transient phosphorylation events
Use lysis buffers optimized for phosphoprotein preservation
Process all time points identically to avoid technical artifacts
Quantification approaches:
Normalize phospho-CREB1 signal to total CREB1
Consider multi-parameter analysis to correlate with upstream and downstream events
Use appropriate software for densitometric analysis with statistical validation
Visual representation:
Plot phosphorylation levels against time
Include error bars representing biological replicates
Consider mathematical modeling to describe phosphorylation/dephosphorylation kinetics
This experimental design allows for comprehensive characterization of the temporal dynamics of Thr100 phosphorylation and its relationship to cellular responses.
Integrative approaches provide deeper insights into signaling networks and contextual understanding of specific phosphorylation events:
Multi-phosphorylation site analysis:
Compare phosphorylation patterns at multiple sites (e.g., Thr100, Ser133, Ser142, Ser111, Ser121)
Determine whether phosphorylation events occur sequentially or independently
Identify potential priming phosphorylation events that influence subsequent modifications
Pathway integration strategies:
Map upstream kinases responsible for specific phosphorylation events
Identify cross-talk between pathways affecting different phosphorylation sites
Study phosphatase activity to understand negative regulation
Correlation with functional outcomes:
Link specific phosphorylation patterns to functional responses
Assess gene expression changes correlated with different phosphorylation states
Study protein-protein interactions dependent on phosphorylation status
Technological integration:
Combine antibody-based detection with mass spectrometry
Integrate cellular imaging with biochemical assays
Utilize computational modeling to predict network behavior
Multi-omics approaches:
Correlate phosphoproteomic data with transcriptomic changes
Integrate with chromatin immunoprecipitation to assess DNA binding
Connect metabolomic changes with signaling events
Research has shown that different phosphorylation sites on CREB can have opposing effects on its activity. For example, while phosphorylation of Ser129 and Ser133 positively affects CREB transcription activity, phosphorylation at Ser111 and Ser121 can block CREB-related gene expression . Understanding these complex interactions requires integrative approaches.
Phospho-CREB1 antibodies are finding expanding applications in specialized research fields:
Neuroscience applications:
Studying neuronal plasticity mechanisms
Investigating learning and memory processes at the molecular level
Examining circadian rhythm regulation where CREB plays a critical role
Research on neurodegenerative conditions like Alzheimer's Disease
Analyzing neuronal responses to stimuli in specific brain regions
Developmental biology:
Tracking signaling changes during cellular differentiation
Studying adipose tissue development where CREB is implicated
Examining embryonic development of specific tissues
Investigating stem cell differentiation pathways
Disease-specific applications:
Specialized research approaches:
Spatial analysis of phosphorylation in tissue sections
Temporal dynamics during developmental processes
Single-cell analysis of phosphorylation heterogeneity
Studies have shown CREB phosphorylation in specific regions of the rat spinal cord in response to stimuli, with significant changes observed in different spinal laminae . This type of region-specific phosphorylation analysis represents an important application in specialized fields.
Bioinformatic approaches can significantly enhance experimental phospho-CREB1 research:
Phosphorylation site prediction:
Identify potential novel phosphorylation sites
Predict kinases responsible for specific phosphorylation events
Compare conservation of phosphorylation sites across species
Network analysis:
Map protein-protein interaction networks affected by phosphorylation
Identify signaling hubs connected to CREB1 phosphorylation
Perform pathway enrichment analysis to understand broader context
Transcriptional target prediction:
Identify genes containing CREB binding sites
Predict differential regulation based on phosphorylation status
Integrate with public ChIP-seq datasets
Structural biology integration:
Model the structural impact of Thr100 phosphorylation
Predict allosteric effects on protein function
Simulate molecular dynamics with different phosphorylation states
Clinical data integration:
Correlate phosphorylation patterns with patient outcomes
Identify potential biomarkers based on phosphorylation signatures
Perform survival analysis with phosphorylation data
High-throughput data analysis:
Process phosphoproteomic mass spectrometry data
Analyze microscopy images for spatial phosphorylation patterns
Develop custom algorithms for kinetic modeling